Chayne Thrash

According to our database, Chayne Thrash authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression.

Ali Abbasi, Chayne Thrash, Haoran Qin, Shansita D. Sharma, Sepehr Seifi, Soheil Kolouri

CoRR, February, 2026

2025

Low-Rank Prehab: Preparing Neural Networks for SVD Compression.

Haoran Qin, Shansita D. Sharma, Ali Abbasi, Chayne Thrash, Soheil Kolouri

CoRR, December, 2025

LOTFormer: Doubly-Stochastic Linear Attention via Low-Rank Optimal Transport.

Ashkan Shahbazi, Chayne Thrash, Yikun Bai, Keaton Hamm, Navid Naderializadeh, Soheil Kolouri

CoRR, September, 2025

MCNC: Manifold-Constrained Reparameterization for Neural Compression.

Chayne Thrash, Reed Andreas, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Hamed Pirsiavash, Soheil Kolouri

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

MCNC: Manifold Constrained Network Compression.

Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri

CoRR, 2024

2023

CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation.

Ali Abbasi, Chayne Thrash, Elaheh Akbari, Daniel Zhang, Soheil Kolouri

CoRR, 2023